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Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India最新文献

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A Comprehensive Survey of Feature Extraction and Feature Selection Techniques of Face Recognition System 人脸识别系统特征提取与特征选择技术综述
Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 2021-01-27 DOI: 10.4108/EAI.16-5-2020.2303968
Swati Saini, Preeti Malhotra
{"title":"A Comprehensive Survey of Feature Extraction and Feature Selection Techniques of Face Recognition System","authors":"Swati Saini, Preeti Malhotra","doi":"10.4108/EAI.16-5-2020.2303968","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2303968","url":null,"abstract":"Among various types of biometric techniques it is the face recognition that gains huge popularity in the last few decades due to its vast applicationsand more user friendly nature.Face Recognition is the procedure of identification and verification of a person's identity using his face. Main steps involved in a FR System are Face Detection, Feature Extraction, Feature Selection and Recognition. Feature Extraction and Feature Selection are the two main phases to be focused on in order to get a good FR System. In this paper, we have carried out an extensive literature review on face recognition focusing on feature extraction and feature selection phases a bit more.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127281966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
VANET’s Security, Privacy and Authenticity: A Study VANET的安全、隐私和真实性:一项研究
Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 2021-01-27 DOI: 10.4108/EAI.16-5-2020.2304038
A. Parveen, Syed Ahmed, Raafiya Gulmeher, Ruksar Fatima
{"title":"VANET’s Security, Privacy and Authenticity: A Study","authors":"A. Parveen, Syed Ahmed, Raafiya Gulmeher, Ruksar Fatima","doi":"10.4108/EAI.16-5-2020.2304038","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304038","url":null,"abstract":". Vehicular Adhoc Network’s (VANET) has gained popularity and focus of research in recent days, due to their distinctive characteristics like fre-quently changing topology with predictable mobility. Much attention of Indus-try and academia both are attracted towards VANETs. Security of data is a crucial aspect of safety related applications of vehicular networks due to their distributed nature and mobility of vehicular ad hoc networks VANETs a critical challenge arises such as collisions of uncoordinated data transmissions and un-stable topologies. This paper presents the basic vehicular ad hoc network’s architecture then shows research issues. This paper provides a survey of research perspective of main aspects of VANETs such as general authentication and security techniques.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125805529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Comprehensive Study of Imaging and Machine Learning Techniques for Diagnosis the Disease 影像和机器学习诊断疾病技术的综合研究
Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 2021-01-27 DOI: 10.4108/EAI.16-5-2020.2304152
P. Illavarason, J. Jeyachidra, T. Logest
{"title":"A Comprehensive Study of Imaging and Machine Learning Techniques for Diagnosis the Disease","authors":"P. Illavarason, J. Jeyachidra, T. Logest","doi":"10.4108/EAI.16-5-2020.2304152","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304152","url":null,"abstract":"Cerebral Palsy (CP) is described as a neurological disorder due to the abnormalities that develop during brain development in kids. This paper represented the past work on Iris detection and machine learning classification techniques. The experimental result shows the best accuracy obtained for detection of iris and eye corner by our algorithm for the real world conditions with state of art methodology.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133419458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Recognition of Tumoursin Human Cerebrum 人类大脑肿瘤的识别
Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 2021-01-27 DOI: 10.4108/EAI.16-5-2020.2304195
J. Deny, R. Sudharsan
{"title":"Recognition of Tumoursin Human Cerebrum","authors":"J. Deny, R. Sudharsan","doi":"10.4108/EAI.16-5-2020.2304195","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304195","url":null,"abstract":"One of the difficult errands in the medicinal field is cerebrum tumour order which includes the extraction of tumour districts from pictures. By and large, this undertaking is being done physically by medicinal specialists which isn't constantly evident because of the similitude among tumour and ordinary tissues and the high decent variety in tumours’ appearance. Accordingly, computerizing restorative picture division stays a genuine test. In this paper, we will concentrate on bunching of Magnetic Resonance cerebrum Images (MRI) by utilization of k-Nearest Neighbours calculation. Our thought is to consider this issue as a grouping issue where the point is to recognize ordinary and anomalous pixels based on a few highlights, in particular forces and surface. All the more decisively, it is recommended to utilize SVM which is mainstream and spurring characterization techniques. The exploratory investigation is experimented for Gliomas dataset speaking to various tumour shapes, areas, sizes and picture powers and furthermore to recognize blood clusters in the human mind.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132264513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Photonic Generation of Triangular Shaped Microwave Pulses Using Stimulated Brillouin Scattering (SBS) 利用受激布里渊散射(SBS)产生三角形微波脉冲
Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 2021-01-27 DOI: 10.4108/EAI.16-5-2020.2304194
M. Baskaran, S. Sevagan, Vijay Mk
{"title":"Photonic Generation of Triangular Shaped Microwave Pulses Using Stimulated Brillouin Scattering (SBS)","authors":"M. Baskaran, S. Sevagan, Vijay Mk","doi":"10.4108/EAI.16-5-2020.2304194","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304194","url":null,"abstract":". A triangular shaped microwave pulse is generated by optical heterodyning principle using Stimulated Brillouin Scattering (SBS) in an optical fiber communication link. A narrowband Distributed Feedback (DFB) Laser diode of wavelength 1552.52 nm, LiNbO Mach Zehnder Modulator (MZM), Highly Nonlinear Fiber (HNLF) of length 20 Km and Optical receiver that comprise high power optical pump source, circulator, PIN photo detector and Band pass filter form the link. Finally, a Radio over Fiber system for the generation of triangular shaped microwave pulse is built through simulation.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122310601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Conversion of Organic Waste into Electricity 有机废物转化为电力
Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 2021-01-27 DOI: 10.4108/EAI.16-5-2020.2304113
A. Antony, D. Ramya, I. Godwin
{"title":"Conversion of Organic Waste into Electricity","authors":"A. Antony, D. Ramya, I. Godwin","doi":"10.4108/EAI.16-5-2020.2304113","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304113","url":null,"abstract":". Power generation from natural resources are very important as overall power generation capability has been depleting. Many natural resources are for the generation of power such as renewable energy sources, energy generated from the waste food materials etc. This paper work aims in generating the power from the organic food waste. Now day’s organic waste food is available in surplus quantity. The organic waste food is stored in the storage tank. From the storage tank it is crushed and fed into the mixer tank and then to the digester. The crushed organic waste is kept in the Digester for about than twenty days. The collected gas in the cylinder is filtered by using a carbon filter and fed to the generator. The generator generates the electricity. By using this flow process organic waste is converted into electricity. In this paper, a prototype is also installed for 10Kg of organic waste from which 20KW of power is generated.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130224825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Human Body Analysis and Diet Recommendation System using Machine Learning Techniques 使用机器学习技术的人体分析和饮食推荐系统
Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 2021-01-27 DOI: 10.4108/EAI.16-5-2020.2304203
M. Geetha, C. Saravanakumar, K. Ravikumar, V. Muthulakshmi
{"title":"Human Body Analysis and Diet Recommendation System using Machine Learning Techniques","authors":"M. Geetha, C. Saravanakumar, K. Ravikumar, V. Muthulakshmi","doi":"10.4108/EAI.16-5-2020.2304203","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304203","url":null,"abstract":". Nowadays the human faces the problem in maintaining the health condition in proper level. The problem is occurred due to excess consumption of the food which leads to obesity and also causes health issues. Mismanagement of the human health system is monitored using automated system which provides the report to the person. Traditional health monitoring model lacks in the accuracy of the report so it is improved by implementing intelligent diet control system. This provides the human choose and consumed proper food based on their health condition and extend the life time. The main objective of the proposed system analyses the body and provides the diet report to the person accurately. Exiting techniques are only support the person based on the current activity which leads the reliability problem. The proposed model uses the machine learning approach which analyzes the body of the human with pre medical history and predict the future health condition over the year. It provides the diet recommendation systems by considering the current and past food consumption record and recommend proper diet report with more reliable manner.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128422468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Multi-View Feature Clustering Technique for Detection and Classification of Human Actions 人类行为检测与分类的多视图特征聚类技术
Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 2021-01-27 DOI: 10.4108/EAI.16-5-2020.2304034
Syed Thouheed Ahmed, Nirmala S. Guptha, A. Fathima, S. Ashwini
{"title":"Multi-View Feature Clustering Technique for Detection and Classification of Human Actions","authors":"Syed Thouheed Ahmed, Nirmala S. Guptha, A. Fathima, S. Ashwini","doi":"10.4108/EAI.16-5-2020.2304034","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304034","url":null,"abstract":". Recognizing the actions performed by any person is the most suc-cessful applications in pattern recognition. Detecting the action in a moving camera influences dynamic view changes, is based on spatio-temporal information at multiple temporal scales. In this paper, we are presenting a system that is dependent on actions based on multi-view information. These multi-view features are extracted from various temporal scales. The GMM and Prewitt edge filter is used for detecting background and foreground image. The Nearest Mean Classifier is used to cluster features vector’s of moving object. The experiment results demonstrated using Kth dataset producing 98% of accuracy.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125449844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Diagnosing the level of Glaucoma from Fundus Image Using Empirical Wavelet Transform 基于经验小波变换的眼底图像青光眼水平诊断
Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 2021-01-27 DOI: 10.4108/EAI.16-5-2020.2304035
R. Swamy, Syed Thouheed Ahmed, K. Thanuja, S. Ashwini, S. Siddiqha, A. Fathima
{"title":"Diagnosing the level of Glaucoma from Fundus Image Using Empirical Wavelet Transform","authors":"R. Swamy, Syed Thouheed Ahmed, K. Thanuja, S. Ashwini, S. Siddiqha, A. Fathima","doi":"10.4108/EAI.16-5-2020.2304035","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304035","url":null,"abstract":". An increased pressure of fluid in optic nerve can subsequently leads to permanent blindness are known as Glaucoma. The normal pressure of eye is 15mmHg or even lower, once it is higher than 30mmHg then there is risk in vision loss. There are many existing technique that require experienced clinicians and cost effective. These systems use higher order spectra and discrete wavelet transform features for extracting the values and fed to classifier for normaliza-tion and ranking the feature. In this paper presenting a new methodology for diagnosis of glaucoma based on EWT. Empirical wavelet transform is applied on image to format the sub band which is also called as decomposed image. These features are sustained into neural network system that produces ne value from n iteration and classify images into mild, intermediate and heavily affected eye using Fundus images.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123367048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
DETECTION OF SKIN DISEASE IN PERVASIVE HEALTH CARE USING CONVOLUTION NEURAL NETWORK 基于卷积神经网络的普适医疗皮肤病检测
Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 2021-01-27 DOI: 10.4108/EAI.16-5-2020.2304021
Sarojini Sharon, Sruthy Simon, R. Moorthy, Dr. P. Pabitha
{"title":"DETECTION OF SKIN DISEASE IN PERVASIVE HEALTH CARE USING CONVOLUTION NEURAL NETWORK","authors":"Sarojini Sharon, Sruthy Simon, R. Moorthy, Dr. P. Pabitha","doi":"10.4108/EAI.16-5-2020.2304021","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304021","url":null,"abstract":"Abstrac. This paper is about detecting skin disease using convolutional neural network in pervasive health care. Various optimizers in keras model are compared and the optimizer with the highest accuracy percentage is employed to predict skin disease through abnormalities in skin images. Detecting skin diseases by viewing images of skin can be an advancement to a great extent. There are many algorithms in machine language which would help to serve the above mentioned scenario. One of the most efficient algorithms that is being used here is convolutional neural networks. It simplifies the input image by reducing its dimensionality which makes prediction of patterns much easier.Convolutional neural network is used along with keras using tensorflow as backend which enables higher efficiency and accuracy.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127386227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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